I want to know all locations from all organizations where data types relevant to my questions are collected
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{"type":"FeatureCollection","features":[{"type":"Feature","properties":{"description":"Reference feature for USACE National Inventory of Dams: OK10440","name":"Yonkipin Lake","subjectof":"https://nid.usace.army.mil/#/dams/system/OK10440/summary","provider":"https://nid.usace.army.mil","provider_id":"OK10440","feature_data_source":"https://doi.org/10.5066/P92S9ZX6","uri":"https://geoconnex.us/ref/dams/1000001","fid":1,"nhdpv2_comid":"https://geoconnex.us/nhdplusv2/comid/832952"},"id":1000001,"geometry":{"type":"Point","coordinates":[-95.71632747020249,36.21964114065486]}}],"numberMatched":98535,"numberReturned":100}
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# Define a server for the Shiny appfunction(input, output) {# Fill in the spot we created for a plot output$phonePlot <-renderPlot({# Render a barplotbarplot(WorldPhones[,input$region]*1000, main=input$region,ylab="Number of Telephones",xlab="Year") })}
The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles.
mpg
cyl
disp
hp
wt
Mazda RX4
21.0
6
160
110
2.620
Mazda RX4 Wag
21.0
6
160
110
2.875
Datsun 710
22.8
4
108
93
2.320
Hornet 4 Drive
21.4
6
258
110
3.215
Hornet Sportabout
18.7
8
360
175
3.440
Valiant
18.1
6
225
105
3.460
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